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Nguyen, Thien. Utilization of a combined EEG/NIRS system to predict driver drowsiness. Scientific Reports. 10.1038/srep43933(2017)NguyenThienScientific Reports.10.1038/srep43933(2017)Open DOISearch in Google Scholar
ZETTERBERG L H. Estimation of parameters for a linear difference equaiton with application to EEG analysis [J]. Math Biosci, 1965, 5(3–4): 227–275.ZETTERBERGL HEstimation of parameters for a linear difference equaiton with application to EEG analysis [J]196553–4227275Search in Google Scholar
MATOUSEK M, PETERSEN I. A method for assessing alertness fluctuations from EEG spectra [J]. Electroencephalogr Clin Neurophysiol, 1983, 55(1): 108–113.MATOUSEKMPETERSENIA method for assessing alertness fluctuations from EEG spectra [J]1983551108113Search in Google Scholar
MAKEIG S, JUNG T P. Changes in alertness are a principal component of variance in the EEG spectrum [J]. Neuroreport, 1995, 7(1): 213–216.MAKEIGSJUNGT PChanges in alertness are a principal component of variance in the EEG spectrum [J]199571213216Search in Google Scholar
JAP B T, LAL S, FISCHER P, et al. Using EEG spectral components to assess algorithms for detecting fatigue[J]. Expert Syst Appl, 2009, 36(2): 2352–2359.JAPB TLALSFISCHERPUsing EEG spectral components to assess algorithms for detecting fatigue[J]200936223522359Search in Google Scholar
Q. Zeng, G. Li, Y. Cui, G. Jiang, and X. Pan, “Estimating temperaturemortality exposure-response relationships and optimum ambient temperature at the multi-city level of china,” International journal of environmental research public health, vol. 13, no. 3, p. 279, 2016.ZengQ.LiG.CuiY.JiangG.PanX.“Estimating temperaturemortality exposure-response relationships and optimum ambient temperature at the multi-city level of china,”1332792016Search in Google Scholar
A. Baughman and E. A. Arens, “Indoor humidity and human health–part i: Literature review of health effects of humidity-influenced indoor pollutants,” ASHRAE Transactions, vol. 102, pp. 192–211, 1996.BaughmanA.ArensE. A.“Indoor humidity and human health–part i: Literature review of health effects of humidity-influenced indoor pollutants,”1021922111996Search in Google Scholar
Y. Du, P. Ma, X. Su, and Y. Zhang, “Driver fatigue detection based on eye state analysis,” in 11th Joint International Conference on Information Sciences. Atlantis Press, Conference Proceedings.DuY.MaP.SuX.ZhangY.in11th Joint International Conference on Information SciencesAtlantis PressConference Proceedings.Search in Google Scholar
Keller JM, Gray MR, Givens JA. A fuzzy k-nearest neighbor algorithm. IEEE transactions on systems, man, cybernetics. 1985:580–5.KellerJMGrayMRGivensJAA fuzzy k-nearest neighbor algorithm19855805Search in Google Scholar
Barker AL. Selection of distance metrics and feature subsets for K-nearest neighbor classifiers: University of Virginia; 1997.BarkerALUniversity of Virginia1997Search in Google Scholar
Yang L, Jin R. Distance metric learning: A comprehensive survey. Michigan State Universiy. 2006; 2:4.YangLJinRMichigan State Universiy200624Search in Google Scholar
Codella N, Cai J, Abedini M, Garnavi R, Halpern A, Smith JR. Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images. International workshop on machine learning in medical imaging: Springer; 2015. p. 118–26.CodellaNCaiJAbediniMGarnaviRHalpernASmithJRSpringer201511826Search in Google Scholar
Oraii S. Eletrophysiology From Pants to Heart. USA: Books on Demand; 2012.OraiiSUSABooks on Demand2012Search in Google Scholar
Lakshmi MR, Prasad T, Prakash DVC. Survey on EEG signal processing methods. International Journal of Advanced Research in Computer Science Software Engineering. 2014; 4.LakshmiMRPrasadTPrakashDVCSurvey on EEG signal processing methods20144Search in Google Scholar
Sanei S, Chambers J. EEG Signal Processing. England: John Wiley; 2007.SaneiSChambersJEnglandJohn Wiley2007Search in Google Scholar
Sundararajan A, Pons A, Sarwat AI. A generic framework for eeg-based biometric authentication. 2015 12th International Conference on Information Technology-New Generations: IEEE; 2015. p. 139–44.SundararajanAPonsASarwatAI2015 12th International Conference on Information Technology-New GenerationsIEEE201513944Search in Google Scholar
Lei X, Liao K. Understanding the influences of EEG reference: a large-scale brain network perspective. Frontiers in neuroscience. 2017; 11:205.LeiXLiaoKUnderstanding the influences of EEG reference: a large-scale brain network perspective201711205Search in Google Scholar
Chella F, Pizzella V, Zappasodi F, Marzetti L. Impact of the reference choice on scalp EEG connectivity estimation. Journal of neural engineering. 2016; 13:036016.ChellaFPizzellaVZappasodiFMarzettiLImpact of the reference choice on scalp EEG connectivity estimation201613036016Search in Google Scholar